Integrating behavioural experimental findings into dynamical models to inform social change interventions

Radu Tanase et al.

Nature Human Behaviour2026https://doi.org/10.1038/s41562-026-02417-4preprint
AJG 4
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0.50

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https://doi.org/https://doi.org/10.1038/s41562-026-02417-4

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@article{radu2026,
  title        = {{Integrating behavioural experimental findings into dynamical models to inform social change interventions}},
  author       = {Radu Tanase et al.},
  journal      = {Nature Human Behaviour},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1038/s41562-026-02417-4},
}

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Integrating behavioural experimental findings into dynamical models to inform social change interventions

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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